Who We Are
Twitter is looking for a Data Scientist to join our Data Services team. This team is uniquely positioned to help external customers & internal teams build analytics to maximize value from Twitter data -- utilizing more than 100 fields of metadata per Tweet, at the scale of 500 million Tweets per day.
What You’ll Do
You will work closely with a team of Data Scientists & Program Managers to develop, test, and implement models, analytics, and technical solutions using Twitter Data Products and tools to serve a wide spectrum of external & internal customer needs and use cases.
Who You Are
We’re looking for an experienced Data Scientist who has worked in a commercial environment managing & analyzing large, complex data sets. The ideal candidate would find themselves equally comfortable operating independently or collaboratively to develop, test, and rapidly iterate a prototype, knowing when to solicit stakeholder input, and how far to expand analysis without going too far.
If this sounds like it might be you, you probably:
Have experience making sense of and analyzing large data sets
Have the ability to balance exploration, focused effort, and stakeholder integration
Value reproducibility and documentation of analysis approach, code, and results
Have comfort navigating a complex data infrastructure (many different data stores with different access methods)
Are able to own and lead a technical project or operate as a contributor on a teammate’s project, often at the same time.
Have experience managing projects to fit scope and timeline requirements
Are able to synthesize and communicate analysis results clearly to stakeholders
Are a team player willing to pitch in and work collaboratively to support team success
Reliably initiate (share & seek) continuous learning and growth opportunities
And you may also:
Have experience in text analysis and natural language processing
Have experience with distributed data tools like Scalding, and the Hadoop ecosystem
Have project management experience
3+ years commercial experience in data science
Extensive experience with a scientific computing language (we work in Python)
Extensive application of statistics, machine learning techniques, and hypothesis testing
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
Engineering Hiring Process
Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.
If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role.
If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people held onsite in our office.
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